Paper Citation Record · LEDGER

PokeRL: Reinforcement Learning for Pokemon Red

As of 13 August 2026, this Paper Citation Record lists 10 of 10 outbound references and 0 inbound Pith citation observations for arXiv:2604.10812.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2604.10812 v1

Coverage vector

measured 10 of 10 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T15:38:17.474509Z

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

10 of 10 outbound references displayed

verified exact2
verified fuzzy6
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5e2c575b-d240-480e-a165-a199e3f45106 · outbound

This paper cites Reinforcement learning 101: Ai plays pok ´emon! https: //medium.com/ordina-data/reinforcement-learning-101-ai-plays-pok% C3%A9mon-e0626bd6beae.

PokeRL: Reinforcement Learning for Pokemon Red Reinforcement learning 101: Ai plays pok ´emon! https: //medium.com/ordina-data/reinforcement-learning-101-ai-plays-pok% C3%A9mon-e0626bd6beae

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:32:05.126045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d617b402-533e-4565-bbe1-64537fbb271d · outbound

This paper cites Go-Explore: a New Approach for Hard-Exploration Problems.

PokeRL: Reinforcement Learning for Pokemon Red Go-Explore: a New Approach for Hard-Exploration Problems

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T10:06:04.951429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 45738616-ddc0-4726-a31f-e41d1a608ac9 · outbound

This paper cites PokeLLMon: A Human-Parity Agent for Pokemon Battles with Large Language Models.

PokeRL: Reinforcement Learning for Pokemon Red PokeLLMon: A Human-Parity Agent for Pokemon Battles with Large Language Models

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:06:04.898354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7b5250ed-c586-490d-8989-5dd63a230d08 · outbound

This paper cites The pokeagent challenge: Competitive and long-context learning at scale.

PokeRL: Reinforcement Learning for Pokemon Red The pokeagent challenge: Competitive and long-context learning at scale

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:32:05.142145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8b0bcc59-9883-4e66-9a9b-2c00a5417363 · outbound

This paper cites Pokemon Red via Reinforcement Learning.

PokeRL: Reinforcement Learning for Pokemon Red Pokemon Red via Reinforcement Learning

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:06:04.936693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 663c8711-29cc-4c96-b71a-9af00ba321e3 · outbound

This paper cites Pokemon rl observations: The ”visited mask”.

PokeRL: Reinforcement Learning for Pokemon Red Pokemon rl observations: The ”visited mask”

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:32:05.138076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4b0ce119-b75c-4c14-83d3-65772ebc6526 · outbound

This paper cites Poke-env: pokemon ai in python.

PokeRL: Reinforcement Learning for Pokemon Red Poke-env: pokemon ai in python

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:32:05.132156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7ce193ff-c961-4053-bd18-5b0d6b4a0d5c · outbound

This paper cites On shannon entropy and its applications.Kuwait Journal of Science, 50(3):194–199.

PokeRL: Reinforcement Learning for Pokemon Red On shannon entropy and its applications.Kuwait Journal of Science, 50(3):194–199

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:32:05.121829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0a2c530d-785b-45e4-9cfe-e4ff0c257f41 · outbound

This paper cites Proximal policy optimization algorithms.

PokeRL: Reinforcement Learning for Pokemon Red Proximal policy optimization algorithms

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:32:05.113909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5599da1d-e299-477b-a4a8-94335f409f6c · outbound

This paper cites an unresolved cited work.

PokeRL: Reinforcement Learning for Pokemon Red Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-05-17T19:32:05.117340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

No inbound Pith citation observations are available.